R&D Robots / Hamster

Hamster is small, smart, indoor robot that can help you achieve your R&D objectives easily and quickly.

Use Nimbus to implement your code easily using a variety of pre-configured ROS algorithms, and then you’re ready to move forward with your R&D project using full Cloud connectivity. 

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Our Hamsters comes with Nimbus already on board.

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Hamster V8 allows you to implement and run R&D for indoor robots with vision-based applications (deep neural network).

It includes the following main features:

  • 2D (360 degrees) Lidar

  • Stereo Depth Camera (Intel's RealSense D345i)

  • IMU (Depth detection)

  • Replaceable Battery

Hamster V8 features

Power

Around 90min of operation on a single charge. Replaceable Lithium-ion polymer battery for non- stop operation. PDU. 5V regulated. 

Computing

Raspberry PI 4 Model B  with Linux and full ROS. Low Level Controller (LLC) Arduino Pro Mini

Sensors

Motor Encoder with 360 LIDAR (1deg, 5Hz, 8m range). Inertial Measurement Unit (IMU).

Software

ROS drivers Simulation (Gazebo)

Connectivity

AC Wifi with Ethernet connection between CPUs.

Dimensions

Handheld size.

Perfect for research:

190mm(W), 240mm(L) 150mm (H) Weight 1.5KG

Camera

Depth Camera / Intel RealSense D435i

Navigation

Mapping (SLAM), Localization, Path Planning, Exploration, Waypoint Driving, Obstacle Avoidance, - all running onboard the robot.

Hamster V7 Powerful Computations Including Mapping, Localization, Path Planning, Exploration, and Waypoint Driving.

It includes the following main sensors:​

  • 2D (360 degrees) Lidar

  • Stereo Depth Camera (Intel's RealSense D345i)

  • IMU (Depth detection)

  • Hamster V7-I equipped with Up Squared quad core with Intel's Myrid X Movidius chip.

  • Hamster V7-N equipped with Nvidia Jetson Xavier NX

Available in 2 options:

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Hamster case studies

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Mapping

Hamster is equipped with 2D lidar, IMU and odometry, enabling it to map and localize in unknown indoor areas

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Localization

Fast localization runs on the Hamster.

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Mitsubishi

Implementation of algorithms for autonomous cars.

Cloud connectivity with the Hamster.

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